<scp>DNA</scp> Methylation of Combined Gene Markers in Cytological Specimens for Endometrial Cancer Screening

Integrating DNA methylation markers into ECT offers a non-invasive and highly accurate approach to EC screening. This model's high diagnostic accuracy and reliability have the potential to transform EC diagnosis, reducing reliance on invasive procedures and improving clinical management.

Authors

Institutions

Publication Details

Journal
Diagnostic Cytopathology
Published
2026-02-04
DOI
https://doi.org/10.1002/dc.70081
Primary Topic
Endometrial and Cervical Cancer Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DNA Methylation of Combined Gene Markers in Cytological Specimens for Endometrial Cancer Screening

Zhigang Wu, Hao Wang, Yuehuan Bian, Ling Kang et al.
Diagnostic Cytopathology
Endometrial and Cervical Cancer Treatments
article

DNA Methylation of Combined Gene Markers in Cytological Specimens for Endometrial Cancer Screening

Zhigang Wu, Hao Wang, Yuehuan Bian, Ling Kang, Mengjun Hu, Liqun He, Siqi Wang, Liujing Huang
article en

Abstract

Integrating DNA methylation markers into ECT offers a non-invasive and highly accurate approach to EC screening. This model's high diagnostic accuracy and reliability have the potential to transform EC diagnosis, reducing reliance on invasive procedures and improving clinical management.

Diagnostic Cytopathology
Zhuhai People's Hospital (CN), GCI Science & Technology (China) (CN)
Good health and well-being
Openalex Percentile: Top 67%
Endometrial and Cervical Cancer Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.